InterScripts is an Information Technology business based in Chantilly, VA and established in **** providing technology and platform-enabled services and solutions.
Historically, we have enabled our customers to realize the most value from their technology and resources through our Managed Services, Archival Solution, EHR, ERP, Advisory, Virtual Care, Technology, Application Development, and Cybersecurity services.
With substantial experience in providing Technology and Platform Enabled solutions to commercial, public sector, and government entities, we are ISO *****, **** CMMI 3 and SOC 2 certified.
Job Description
Location: Colombia – Medellín Office
Work Model: Full-Time | Onsite (Work from Office Only)
Department: Data Engineering / AI & Analytics
Position Overview
We are seeking a highly experienced Senior ETL Engineer with AI certifications who is bilingual (Spanish/English) and has advanced, fluent English communication skills to join our Colombia Medellín Office (onsite full-time).
This role requires deep expertise in data engineering, scalable ETL architecture, and cloud-based data platforms, along with demonstrated AI/ML certification and hands‐on experience supporting AI-driven initiatives.
The idóneo candidate must be comfortable collaborating directly with U.S.-based teams and stakeholders.
Key Responsibilities
Data Engineering & ETL Development
Design, develop, and optimize scalable ETL/ELT pipelines.
Build robust batch and real-time data processing workflows.
Ensure high data quality, integrity, and performance.
Troubleshoot and resolve complex production data issues.
AI & Machine Learning Enablement
Prepare high‐quality datasets for AI/ML model training and deployment.
Collaborate with Data Scientists to operationalize machine learning models.




Support MLOps pipelines and automated model deployment processes.
Implement monitoring and validation for AI‐driven data systems.
Cloud & Big Data Architecture
Develop cloud‐native data solutions (AWS, Azure, or GCP).
Work with tools such as Spark, Databricks, Snowflake, BigQuery, or similar.
Design and maintain data lakes, warehouses, and lakehouse architectures.
Implement security, governance, and compliance best practices.
Performance & Optimization
Tune SQL queries and optimize large‐scale transformations.
Improve pipeline efficiency and reduce latency.
Ensure high availability and reliability of data platforms.
Collaboration & Communication
Work closely with U.S.-based engineering and AI teams.
Communicate technical concepts clearly in English.
Participate in cross‐functional design discussions and architecture reviews.
Requirements
Required Qualifications
Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
6+ years of hands‐on ETL/Data Engineering experience.
Strong expertise in:
Advanced SQL
Python (required)
Spark or distributed processing frameworks
Cloud platforms (AWS, Azure, or GCP)
Experience building data pipelines supporting AI/ML initiatives.
Experience in production support and performance tuning.
AI Certification Requirements (Preferred)
Must hold at least one recognized AI certification, such as:
AWS Certified Machine Learning – Specialty
Microsoft Azure AI Engineer Associate
Databricks Machine Learning Certification
Strong Understanding Of
Machine learning lifecycle
Feature engineering
Model deployment
MLOps practices
Language Requirement (Mandatory)
Fully bilingual (Spanish & English).
Advanced/Fluent English required (written and spoken).
Must be comfortable leading technical discussions in English with U.S.-based stakeholders.
#J-*****-Ljbffr

📌 Senior Etl Engineer – Bilingual – Onsite Medellin Office (Medellín)
🏢 Interscripts
📍 Medellín